ccprompts

🥈Silver

ccprompts provides practical Claude code commands and subagents for operations teams. It enables automation of repetitive tasks, streamlines workflows, and integrates with existing systems. Teams benefit from increased efficiency and reduced manual effort.

64100Updated 1mo ago

Intermediate30min to implementautomation

Saves ~30 min per use

Quick InstallView Source

git clone https://github.com/ursisterbtw/ccprompts.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/ursisterbtw/ccprompts

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Act as a subagent for [COMPANY] in the [INDUSTRY] sector. Generate a Claude code command to automate [TASK]. Ensure the command is efficient, well-documented, and follows best practices. Provide the command in a code block and explain its functionality in 2-3 sentences.

Example Output

```python
# Claude Code Command for Automating Customer Data Analysis

# Import necessary libraries
import pandas as pd
import numpy as np

# Load customer data from CSV
customer_data = pd.read_csv('customer_data.csv')

# Perform data cleaning and preprocessing
customer_data = customer_data.dropna()
customer_data['Total_Spend'] = customer_data['Amount'] * customer_data['Frequency']

# Generate summary statistics
summary_stats = customer_data.describe()

# Save results to a new CSV file
summary_stats.to_csv('customer_summary_stats.csv')
```

This Claude code command automates the process of loading, cleaning, and analyzing customer data for [COMPANY] in the [INDUSTRY] sector. The command reads customer data from a CSV file, performs necessary data cleaning and preprocessing, calculates total spend for each customer, generates summary statistics, and saves the results to a new CSV file.